{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "from pandas.tools.plotting import scatter_matrix\n",
    "import seaborn as sns\n",
    "import json\n",
    "from pprint import pprint\n",
    "from datetime import timedelta\n",
    "import os"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Intro"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We have attached our Jupyter server to three different repositories in our Pachyderm pipline DAG:\n",
    "\n",
    "- **trips** - This repo is populated with a daily file that records the number of bicycle trips recorded by NYC's citibike bike sharing company on that particular day (data from [here](https://www.citibikenyc.com/system-data)).\n",
    "- **sales** - This repo includes a single CSV file called `sales.csv`.  `sales.csv` is updated daily by a pipeline that processes each file in `trips` to calculate sales for the day.  Note, here we are using a fictional multiplier, $5/trip, to calculate daily \"sales\" (i.e., these are not actually the sales figures for citibike).\n",
    "- **weather** - This repo is populated daily with a JSON file representing the weather forecast for that day from [forecast.io](https://darksky.net/forecast/40.7127,-74.0059/us12/en).\n",
    "\n",
    "We attached to the `trips` and `weather` repos at commit number 30, which corresponds to the data versioned on 7/31/2016.  We did this, because on 7/30/2016 and 7/31/2016 we saw a sharp drop in our sales, and we want to try and understand, interactively, why we might have seen this drop in sales.  \n",
    "\n",
    "By attaching to these separate points in our DAG (`trips`, `weather`, and `sales`) we can bring our data together at a particular commit (i.e., a particular point in history), without explicitly planning a pipeline stage that takes these repos as input."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Import sales data from the `sales` repo"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's first grab our sales data from the `sales` repo:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "salesDF = pd.read_csv('/pfs/sales/sales.csv', names=['Date', 'Sales'])\n",
    "salesDF['Date'] = pd.to_datetime(salesDF['Date'])\n",
    "salesDF.set_index('Date', inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Sales</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2016-07-01</th>\n",
       "      <td>198325</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-07-02</th>\n",
       "      <td>179175</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-07-03</th>\n",
       "      <td>176735</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-07-04</th>\n",
       "      <td>174295</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-07-05</th>\n",
       "      <td>218680</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Sales\n",
       "Date              \n",
       "2016-07-01  198325\n",
       "2016-07-02  179175\n",
       "2016-07-03  176735\n",
       "2016-07-04  174295\n",
       "2016-07-05  218680"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "salesDF.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Import trip data from the `trips` repo, join with the sales data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can then grab the trip count data from the `trips` repo, put that into a separate dataframe, and merge the two data frames.  This way we can join our data from multiple repos interactively to try and draw some conclusions."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "trip_data = []\n",
    "\n",
    "for fn in os.listdir('/pfs/trips/'):\n",
    "    \n",
    "    if os.path.isfile('/pfs/trips/' + fn): \n",
    "                     \n",
    "        data = pd.read_csv('/pfs/trips/' + fn)\n",
    "\n",
    "        trips = data.ix[0]['Trips over the past 24-hours (midnight to 11:59pm)']\n",
    "        trip_data.append([data.ix[0]['Date'], trips])\n",
    "\n",
    "tripsDF = pd.DataFrame(trip_data, columns=['Date','Trips'])\n",
    "tripsDF['Date'] = pd.to_datetime(tripsDF['Date'])\n",
    "tripsDF.set_index('Date', inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Trips</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2016-07-01</th>\n",
       "      <td>39665</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-07-02</th>\n",
       "      <td>35835</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-07-03</th>\n",
       "      <td>35347</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-07-04</th>\n",
       "      <td>34859</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-07-05</th>\n",
       "      <td>43736</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Trips\n",
       "Date             \n",
       "2016-07-01  39665\n",
       "2016-07-02  35835\n",
       "2016-07-03  35347\n",
       "2016-07-04  34859\n",
       "2016-07-05  43736"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tripsDF.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "dataDF = salesDF.join(tripsDF)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Sales</th>\n",
       "      <th>Trips</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2016-07-01</th>\n",
       "      <td>198325</td>\n",
       "      <td>39665</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-07-02</th>\n",
       "      <td>179175</td>\n",
       "      <td>35835</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-07-03</th>\n",
       "      <td>176735</td>\n",
       "      <td>35347</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-07-04</th>\n",
       "      <td>174295</td>\n",
       "      <td>34859</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-07-05</th>\n",
       "      <td>218680</td>\n",
       "      <td>43736</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Sales  Trips\n",
       "Date                     \n",
       "2016-07-01  198325  39665\n",
       "2016-07-02  179175  35835\n",
       "2016-07-03  176735  35347\n",
       "2016-07-04  174295  34859\n",
       "2016-07-05  218680  43736"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataDF.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Import supplemental JSON weather data from the `weather` repo, and join with our other data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Finally, we will pull in the JSON weather data from the `weather` repo and again merge that with the sales and trip data.  We suspect that the weather likely had something to do with the poor sales on the 30th and 31st of July.  In particular we expect that precipitation might have led to the poor sales, so we will extract the daily precipitation probabilities and join that with our previously created dataframe."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "precip_data = []\n",
    "\n",
    "for fn in os.listdir('/pfs/weather/'):\n",
    "    \n",
    "    if os.path.isfile('/pfs/weather/' + fn):\n",
    "\n",
    "        with open('/pfs/weather/' + fn) as data_file:    \n",
    "            data = json.load(data_file)\n",
    "\n",
    "        precip = data['daily']['data'][0]['precipProbability']\n",
    "        precip_data.append([fn, precip])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "precipDF = pd.DataFrame(precip_data, columns=['Date', 'Precipitation Probability'])\n",
    "precipDF['Date'] = pd.to_datetime(precipDF['Date'])\n",
    "precipDF.set_index('Date', inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Precipitation Probability</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2016-07-01</th>\n",
       "      <td>0.83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-07-02</th>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-07-03</th>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-07-04</th>\n",
       "      <td>0.59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-07-05</th>\n",
       "      <td>0.89</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Precipitation Probability\n",
       "Date                                 \n",
       "2016-07-01                       0.83\n",
       "2016-07-02                       0.00\n",
       "2016-07-03                       0.00\n",
       "2016-07-04                       0.59\n",
       "2016-07-05                       0.89"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "precipDF.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "dataDF = dataDF.join(precipDF)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Sales</th>\n",
       "      <th>Trips</th>\n",
       "      <th>Precipitation Probability</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2016-07-01</th>\n",
       "      <td>198325</td>\n",
       "      <td>39665</td>\n",
       "      <td>0.83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-07-02</th>\n",
       "      <td>179175</td>\n",
       "      <td>35835</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-07-03</th>\n",
       "      <td>176735</td>\n",
       "      <td>35347</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-07-04</th>\n",
       "      <td>174295</td>\n",
       "      <td>34859</td>\n",
       "      <td>0.59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-07-05</th>\n",
       "      <td>218680</td>\n",
       "      <td>43736</td>\n",
       "      <td>0.89</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Sales  Trips  Precipitation Probability\n",
       "Date                                                \n",
       "2016-07-01  198325  39665                       0.83\n",
       "2016-07-02  179175  35835                       0.00\n",
       "2016-07-03  176735  35347                       0.00\n",
       "2016-07-04  174295  34859                       0.59\n",
       "2016-07-05  218680  43736                       0.89"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataDF.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Visualize the sales in the context of weather"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Finally, we confirm our suspicions by visualizing the precipitation probabilities with the sales data:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f8f54cf56d0>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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effYZFEXh739/0dtTEaJFKCo18bePNlJcZiYyNJB/zLiAkCDPptYeO1HMmu1Z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ohyvxRTU1ArCqvclgB3JdEFOjPNHrXrR5J5aBM2GCWJWMRZToJDnryWFgqiSGU8JKMKqGVGrW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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f8f54cf5810>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = dataDF.plot(secondary_y=['Precipitation Probability'], figsize=(10, 8))\n",
    "ax.set_ylabel('Sales (dollars), # Trips')\n",
    "ax.right_ax.set_ylabel('Precipitation probability')\n",
    "ax.right_ax.legend(loc='best')\n",
    "ax.legend(loc='upper left')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can see that their was a probability of precipitation in NYC above 70% both of the days in question.  This is likely to be the explanation for the poor sales.  Of course, we can attach our Jupyter notebook to any Pachyderm repos at at commit to explore other unexpected behavior, develop further analyses, etc."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}
